This Jupyter notebook resume all our programmation work on binary classification (school project), the Banknote Authentication Dataset and the Kidney Disease Dataset. A project about an automated model for two different datasets, looking for the best model among SkLearn to complete the task.

Summary:

Part I : Data Cleaning (function preprocessing)

Part II : Result evaluation (function accuracy)

Part III : Models used

• 1-cross-validation (function models_1cv)
• N-cross-validation (function models_Ncv)
• Model mean (function model_mean)
• Part IV : Global function (function finalFunction)